Автор: Charles Meadow Название: Text Information Retrieval Systems, 3rd Edition ISBN: 0123694124 ISBN-13(EAN): 9780123694126 Издательство: Emerald Рейтинг: Цена: 63040.00 T Наличие на складе: Есть Описание: Dealing with computer-based retrieval systems, this book covers the nature of information, how it is organized for use by a computer, how search functions are carried out, and the theory underlying these functions. It also discusses the interaction between user and system and how retrieved items, users, and complete systems are evaluated.
Автор: Christine Urquhart Название: Information Systems: Process and practice ISBN: 1783302410 ISBN-13(EAN): 9781783302413 Издательство: Facet Рейтинг: Цена: 102080.00 T Наличие на складе: Нет в наличии. Описание: This book adopts a holistic interpretation of information architecture, to offer a variety of methods, tools, and techniques that may be used when designing websites and information systems that support workflows and what people require when `managing information`.
Автор: Hadj Ahmed Bouarara , Reda Mohamed Hamou , Amine Rahmani (Editors) Название: Advanced metaheuristic methods in big data retrieval and analytics / ISBN: 1522573380 ISBN-13(EAN): 9781522573388 Издательство: Turpin Рейтинг: Цена: 229150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The amount of data shared and stored on the web and other document repositories is steadily on the rise. Unfortunately, this growth increases inefficiencies and difficulties when trying to find the most relevant and up-to-date information due to unstructured data.Advanced Metaheuristic Methods in Big Data Retrieval and Analytics examines metaheuristic techniques as an important alternative model for solving complex problems that are not treatable by deterministic methods. Recent studies suggest that IR and biomimicry can be used together for several application problems in big data and internet of things, especially when conventional methods would be too expensive or difficult to implement. Featuring coverage on a broad range of topics such as ontology, plagiarism detection, and machine learning, this book is ideally designed for engineers, graduate students, IT professionals, and academicians seeking an overview of new trends in information retrieval in big data.
Автор: Mihai Lupu; Katja Mayer; Noriko Kando; Anthony J. Название: Current Challenges in Patent Information Retrieval ISBN: 3662538164 ISBN-13(EAN): 9783662538166 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Intellectual property in the form of patents plays a vital role in today`s increasingly knowledge-based economy. This book assembles state-of-the art research and is intended to illustrate innovative approaches to patent information retrieval.
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